It is well known that incremental learning can often be difficult for traditional neural network systems, due to newly learned information interfering with previously learned infor...
This paper analyzes and compares the effectiveness of various system level design methodologies in assessing performance of embedded computing systems from the earliest stages of ...
In this paper we present a method for finding general dependencies between individual agents in a multi-agent system. We use mutual information as the general measure for dependen...
George Mathews, Hugh F. Durrant-Whyte, Mikhail Pro...
In petabyte-scale distributed file systems that decouple read and write from metadata operations, behavior of the metadata server cluster will be critical to overall system perfo...
Sage A. Weil, Kristal T. Pollack, Scott A. Brandt,...
Abstract. We describe an analytic approach, multiscale analysis, that can demonstrate the fundamental limitations of decomposition based engineering for the development of highly c...